Linear Prediction

Linear Prediction is a signal modeling technique that belongs to the class of parametric methods for estimating future values of a discrete-time signal as a linear function of its past samples, distinguished by its reliance on minimizing the prediction error in a least-squares sense to derive optimal predictor coefficients.

1.9K

Publications

110K

Citations

3.9K

Authors

1.3K

Institutions

Publications per year

2017–2026

240

Authors

3.9K

  1. BY
    B. Yegnanarayana

    Indian Institute of Technology Madras, India

    30 publications · 2.5K citations

    22

    h-index

  2. PA
    Paavo Alku

    Aalto University, Finland

    21 publications · 754 citations

    16

    h-index

  3. DT
    D.W. Tufts

    University of Rhode Island, United States

    17 publications · 2.6K citations

    16

    h-index

  4. SR
    S. R. Mahadeva Prasanna

    Indian Institute of Technology Guwahati, India

    18 publications · 851 citations

    15

    h-index

  5. MM
    Marc Moonen

    KU Leuven, Belgium

    16 publications · 674 citations

    14

    h-index

1–5 of 3.9K

Venues

  1. 49

    h-index

  2. IEEE Transactions on Signal Processing

    79 publications · 3.9K citations

    35

    h-index

  3. The Journal of the Acoustical Society of America

    JASA · 43 publications · 4.6K citations

    28

    h-index

  4. 22

    h-index

  5. IEEE Signal Processing Letters

    33 publications · 1.6K citations

    20

    h-index

1–5